A review on effective alarm management systems for industrial process control: Barriers and opportunities

IF 4.1 3区 工程技术 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Faizan E Mustafa , Ijaz Ahmed , Abdul Basit , Um-E-Habiba Alvi , Saddam Hussain Malik , Atif Mahmood , Paghunda Roheela Ali
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引用次数: 5

Abstract

The effective robust management of plant requires the implementation of industrial alarm systems in a very significant capacity. The core objective of alarms is to warn the operator of critical operational deviations and these operational anomalies can sometimes result in operators receiving significantly more alarms in a short period of time than they can manage, which is known as alarm flooding. In the case of any system malfunction, the alarms triggering and operators performance measure together important levels of security. Over the course of the last few decades, there has been a significant acceleration in the development of industrial automation technology, which has resulted in an increase in the total number of process sensors deployed within a specific plant. Moreover, the extensive integration of automation and security-based sensors has increased the system’s complexity and introduced a variety of operational challenges in industrial facilities. Consequently, this extensive integration has led to ineffectual system reliability, which further raised operator load volume and increased the chances of fatal conditions in certain situations. This review paper addresses the history of alarm management including major incidents that occurred in the last five decades, the development of the life cycle of alarm management, standards, and principles adopted for alarm management, techniques and methodologies developed for managing alarms, and current challenges that arise from modern control system integration.

工业过程控制有效报警管理系统综述:障碍与机遇
工厂的有效稳健管理需要工业报警系统的大量实施。警报的核心目的是警告操作人员关键的操作偏差,这些操作异常有时会导致操作人员在短时间内接收到的警报数量远远超过他们的管理能力,这被称为警报泛滥。在任何系统故障的情况下,报警触发和操作人员的表现一起衡量重要的安全级别。在过去的几十年里,工业自动化技术的发展有了显著的加速,这导致了在特定工厂内部署的过程传感器总数的增加。此外,自动化和基于安全的传感器的广泛集成增加了系统的复杂性,并在工业设施中引入了各种操作挑战。因此,这种广泛的集成导致了系统可靠性的降低,进一步增加了操作员的负荷,并增加了在某些情况下发生致命事故的可能性。本文回顾了警报管理的历史,包括过去五十年中发生的重大事件,警报管理生命周期的发展,警报管理采用的标准和原则,管理警报的技术和方法,以及现代控制系统集成所带来的当前挑战。
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来源期刊
International Journal of Critical Infrastructure Protection
International Journal of Critical Infrastructure Protection COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, MULTIDISCIPLINARY
CiteScore
8.90
自引率
5.60%
发文量
46
审稿时长
>12 weeks
期刊介绍: The International Journal of Critical Infrastructure Protection (IJCIP) was launched in 2008, with the primary aim of publishing scholarly papers of the highest quality in all areas of critical infrastructure protection. Of particular interest are articles that weave science, technology, law and policy to craft sophisticated yet practical solutions for securing assets in the various critical infrastructure sectors. These critical infrastructure sectors include: information technology, telecommunications, energy, banking and finance, transportation systems, chemicals, critical manufacturing, agriculture and food, defense industrial base, public health and health care, national monuments and icons, drinking water and water treatment systems, commercial facilities, dams, emergency services, nuclear reactors, materials and waste, postal and shipping, and government facilities. Protecting and ensuring the continuity of operation of critical infrastructure assets are vital to national security, public health and safety, economic vitality, and societal wellbeing. The scope of the journal includes, but is not limited to: 1. Analysis of security challenges that are unique or common to the various infrastructure sectors. 2. Identification of core security principles and techniques that can be applied to critical infrastructure protection. 3. Elucidation of the dependencies and interdependencies existing between infrastructure sectors and techniques for mitigating the devastating effects of cascading failures. 4. Creation of sophisticated, yet practical, solutions, for critical infrastructure protection that involve mathematical, scientific and engineering techniques, economic and social science methods, and/or legal and public policy constructs.
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